<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>agricultural resource management &#8211; Science</title>
	<atom:link href="https://scienmag.com/tag/agricultural-resource-management/feed/" rel="self" type="application/rss+xml" />
	<link>https://scienmag.com</link>
	<description></description>
	<lastBuildDate>Fri, 08 May 2026 21:31:28 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.1</generator>

<image>
	<url>https://scienmag.com/wp-content/uploads/2024/07/cropped-scienmag_ico-32x32.jpg</url>
	<title>agricultural resource management &#8211; Science</title>
	<link>https://scienmag.com</link>
	<width>32</width>
	<height>32</height>
</image> 
<site xmlns="com-wordpress:feed-additions:1">73899611</site>	<item>
		<title>Study Finds Drones Equal More Expensive Technology in Farm Planning Efficiency</title>
		<link>https://scienmag.com/study-finds-drones-equal-more-expensive-technology-in-farm-planning-efficiency/</link>
		
		<dc:creator><![CDATA[Alan Morgan]]></dc:creator>
		<pubDate>Fri, 08 May 2026 21:31:28 +0000</pubDate>
				<category><![CDATA[Agriculture]]></category>
		<category><![CDATA[3D modeling with drones]]></category>
		<category><![CDATA[agricultural resource management]]></category>
		<category><![CDATA[cost-effective agricultural technology]]></category>
		<category><![CDATA[drone-based farm planning]]></category>
		<category><![CDATA[environmental science in agriculture]]></category>
		<category><![CDATA[high-resolution spatial mapping]]></category>
		<category><![CDATA[hydrologically sensitive zone mapping]]></category>
		<category><![CDATA[LiDAR alternatives for farming]]></category>
		<category><![CDATA[photogrammetry in agriculture]]></category>
		<category><![CDATA[precision agriculture mapping]]></category>
		<category><![CDATA[Structure from Motion photogrammetry]]></category>
		<category><![CDATA[water pollution risk identification]]></category>
		<guid isPermaLink="false">https://scienmag.com/study-finds-drones-equal-more-expensive-technology-in-farm-planning-efficiency/</guid>

					<description><![CDATA[In the field of environmental science and agricultural resource management, the ability to accurately identify and map areas at risk of contributing to water pollution has long relied on cutting-edge, yet costly, technologies. A recent breakthrough led by researchers at Penn State University heralds a transformative shift in this domain, unveiling a novel, cost-effective approach [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>In the field of environmental science and agricultural resource management, the ability to accurately identify and map areas at risk of contributing to water pollution has long relied on cutting-edge, yet costly, technologies. A recent breakthrough led by researchers at Penn State University heralds a transformative shift in this domain, unveiling a novel, cost-effective approach that harnesses the power of drones combined with photogrammetry to generate precise, high-resolution spatial maps traditionally dependent on more expensive methods like LiDAR.</p>
<p>For decades, LiDAR (Light Detection and Ranging) has been the gold standard for producing detailed elevation and landscape models crucial for understanding how water flows across agricultural terrains. LiDAR works by emitting laser pulses from airborne platforms to measure terrain elevations with exceptional accuracy, creating detailed digital elevation models that help pinpoint hydrologically sensitive zones—regions where water accumulates or flows rapidly, thus posing a high risk of runoff. However, the acquisition, processing, and deployment of LiDAR data can be prohibitively expensive and logistically challenging, particularly in rural or dynamically changing agricultural landscapes.</p>
<p>Challenging this paradigm, the Penn State research team implemented a drone-based system utilizing Structure from Motion (SfM) photogrammetry, an innovative imaging technology that reconstructs three-dimensional models by analyzing numerous overlapping two-dimensional photographs taken from varying angles. This imagery-based approach enables the generation of detailed elevation maps with remarkable precision, rivaling the quality of LiDAR outputs but at a fraction of the cost and with enhanced accessibility.</p>
<p>At the heart of this breakthrough lies the ability of small unmanned aerial vehicles (UAVs), commonly referred to as drones, to capture hundreds of high-resolution images over farm fields. These images are then synthesized through SfM techniques, which employ sophisticated computational algorithms to derive depth and spatial relationships by matching features across multiple photographs. The resulting 3D model accurately depicts subtle topographic variations critical for mapping hydrologically sensitive areas and phosphorus critical source areas—zones where phosphorus, a common agricultural pollutant from fertilizers and manure, is prone to wash into surrounding water bodies.</p>
<p>To validate their system’s performance, the team conducted comprehensive field trials across four farm sites in eastern Pennsylvania, comparing drone-derived elevation models against LiDAR datasets obtained in 2017. Using between 400 and 1,000 ground control points per site to ensure spatial precision, the researchers found striking correlations between the two datasets. Elevation accuracy was measured with an almost perfect correlation coefficient of 0.999, underscoring that the drone-photogrammetry method replicates LiDAR’s capability in rendering precise terrain metrics.</p>
<p>Furthermore, when the team translated these elevation models into functional maps identifying hydrologically sensitive and phosphorus critical source areas, the results were nearly indistinguishable, with discrepancies limited to less than 1.53%. This level of agreement testifies to the reliability of drone-based mapping in informing environmental management decisions critical to reducing nutrient runoff—one of the leading contributors to water body eutrophication and ecosystem degradation.</p>
<p>The implications of democratizing landscape mapping through drones extend beyond cost savings. Unlike LiDAR data, which must be updated infrequently due to budget and operational constraints, drone flights can be deployed rapidly and flexibly, enabling real-time monitoring of changes in agricultural landscapes. This responsiveness is especially pertinent when considering that phosphorus runoff typically emanates disproportionately from limited watershed areas, often following the 80:20 rule—where roughly 80% of phosphorus losses arise from only 20% of the land.</p>
<p>Dr. Patrick Drohan, professor of pedology and lead author, emphasized that this innovation empowers water resource managers and farmers alike to dynamically assess watershed conditions and implement best management practices more precisely. “With drone-based photogrammetry, updating runoff risk maps becomes more affordable and accessible, paving the way for targeted interventions such as riparian buffer installation or runoff attenuation structures that safeguard water quality,” he explained.</p>
<p>The research garnered data within the U.S. Department of Agriculture’s experimental watershed in Northumberland County, a tributary feeding into the Mahantango Creek Watershed—an ecologically sensitive region ultimately draining into the Chesapeake Bay. This context underscores the broader environmental stakes; reducing phosphorus runoff here contributes to ongoing efforts to mitigate the Chesapeake Bay’s nutrient pollution and restore aquatic habitats.</p>
<p>Jhony Armando Benavides-Bolaños, a researcher who completed his doctorate under Drohan’s mentorship, spearheaded the study. His expertise in soil science and international agriculture has been instrumental in refining the drone-photogrammetry workflow to suit complex farm environments. Collaborative contributors included international experts in surveying and agricultural sciences, lending multidisciplinary rigor to the project.</p>
<p>Beyond the scientific community, the accessibility of drone technology marks a significant step toward precision agriculture that is environmentally conscious and economically viable. By lowering barriers to obtaining accurate landscape data, this methodology holds promise for widespread adaptation across varied agricultural contexts, especially where resources and LiDAR access are limited.</p>
<p>In sum, Penn State’s pioneering use of UAV-based photogrammetry not only challenges the traditional reliance on LiDAR for environmental mapping but also catalyzes a paradigm shift in how agricultural landscapes are managed to protect vital water resources. The convergence of affordability, accuracy, and flexibility in this approach offers profound implications for sustainable farming practices and watershed stewardship worldwide.</p>
<hr />
<p><strong>Subject of Research</strong>: Not applicable</p>
<p><strong>Article Title</strong>: Unmanned Aerial Vehicle photogrammetry for mapping hydrologically sensitive and phosphorus critical source areas</p>
<p><strong>News Publication Date</strong>: 25-Mar-2026</p>
<p><strong>Web References</strong>: <a href="https://www.sciencedirect.com/science/article/pii/S0168169926002991">https://www.sciencedirect.com/science/article/pii/S0168169926002991</a></p>
<p><strong>References</strong>: DOI: 10.1016/j.compag.2026.111704</p>
<p><strong>Image Credits</strong>: Penn State</p>
<p><strong>Keywords</strong>: Agriculture, Precision Agriculture, UAV, Photogrammetry, LiDAR, Phosphorus Runoff, Hydrologically Sensitive Areas, Environmental Monitoring, Watershed Management</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">157734</post-id>	</item>
		<item>
		<title>Sustainable Innovation: Advancing High-Yield, Eco-Friendly Technologies</title>
		<link>https://scienmag.com/sustainable-innovation-advancing-high-yield-eco-friendly-technologies/</link>
		
		<dc:creator><![CDATA[Alan Morgan]]></dc:creator>
		<pubDate>Fri, 15 Aug 2025 02:19:56 +0000</pubDate>
				<category><![CDATA[Technology and Engineering]]></category>
		<category><![CDATA[agricultural resource management]]></category>
		<category><![CDATA[China's rice production challenges]]></category>
		<category><![CDATA[climate-friendly farming solutions]]></category>
		<category><![CDATA[eco-friendly farming technologies]]></category>
		<category><![CDATA[environmental sustainability in agriculture]]></category>
		<category><![CDATA[greenhouse gas emissions in agriculture]]></category>
		<category><![CDATA[high-yield rice cultivation]]></category>
		<category><![CDATA[innovative rice production methods]]></category>
		<category><![CDATA[Nanjing Agricultural University research initiatives]]></category>
		<category><![CDATA[nitrogen fertilizer efficiency]]></category>
		<category><![CDATA[soil degradation and water pollution]]></category>
		<category><![CDATA[sustainable agriculture practices]]></category>
		<guid isPermaLink="false">https://scienmag.com/sustainable-innovation-advancing-high-yield-eco-friendly-technologies/</guid>

					<description><![CDATA[As the world&#8217;s largest rice producer, China faces significant challenges in balancing agricultural productivity with environmental sustainability. This pressing issue is exacerbated by the current agricultural model, which relies heavily on excessive fertilization and flood irrigation to maximize rice yields. Consequently, these practices lead to numerous ecological concerns, including soil degradation, water pollution, and heightened [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>As the world&#8217;s largest rice producer, China faces significant challenges in balancing agricultural productivity with environmental sustainability. This pressing issue is exacerbated by the current agricultural model, which relies heavily on excessive fertilization and flood irrigation to maximize rice yields. Consequently, these practices lead to numerous ecological concerns, including soil degradation, water pollution, and heightened greenhouse gas emissions. The quest for a robust solution to ensure food security while alleviating these environmental pressures has led researchers at Nanjing Agricultural University to propose an innovative and green approach to rice cultivation.</p>
<p>The researchers, led by Xusheng Meng, emphasize the critical need to shift from the conventional paradigm of &#8220;high input and low efficiency&#8221; in rice production. While China contributes nearly one-fifth of the world&#8217;s rice cultivation area, its nitrogen fertilizer consumption accounts for a staggering 37%, with residual nitrogen use efficiency falling below global averages. Such inefficiencies not only squander agricultural resources but also introduce environmental hazards, including runoff that contributes to soil acidification and the leaching of nutrients into water systems. Moreover, China&#8217;s paddy fields are a significant source of greenhouse gases, emitting approximately 712 million tons of carbon dioxide equivalents every year, making them more polluting than rice fields in other major producing nations.</p>
<p>In light of these alarming facts, the Nanjing Agricultural University team has identified three innovative technical frameworks for rice cultivation aimed at harnessing resources more efficiently and sustainably. First and foremost is the optimization of nutrient management strategies. By revising fertilization practices, the researchers suggest a tailored approach that reduces the amount of nitrogen applied at seedling stages while increasing the application during the panicle formation stage. This precision in nutrient allocation not only promotes effective tillering but also enhances the quality of panicle development and grain filling. Experimental data indicates that this refined method can elevate nitrogen use efficiency by as much as 21.3%, which can lead to a visible increase in crop yield.</p>
<p>The second innovative path introduced by the researchers is the &#8220;carbon-nitrogen synergy&#8221; technology. This method involves the incorporation of crushed straw back into the soil along with a strategic reduction in chemical fertilizers by replacing them with organic options. The synergistic effect of this combination leads to a significant enhancement of soil organic carbon levels, thereby improving the soil&#8217;s capacity to retain water and essential nutrients. Long-term observations reveal that this novel approach can curtail ammonia volatilization losses by more than 17%, while simultaneously stimulating the activity of beneficial soil microorganisms. This enhanced microbial activity promotes a more effective nutrient conversion process, which is vital for sustainable crop production.</p>
<p>The third avenue is groundbreaking in its approach to water management. The researchers advocate for an integrated water management system, notably emphasizing &#8220;water-saving and controlled drainage&#8221; techniques. This alternative to traditional full-period flooding involves the adoption of an &#8220;alternate wetting and drying&#8221; irrigation strategy, which fosters better soil aeration, supports root development, and curtails methane emissions through judicious field drying during critical growth stages. Demonstrations in South China&#8217;s double-cropping rice areas have shown that this technology can save up to 19% of water usage compared to standard irrigation methods while reducing methane emissions by 16.2%. Importantly, this technique manages to maintain stable yields, ensuring that productivity does not decline.</p>
<p>The researchers have also tailored these technological solutions to meet the specific conditions and challenges faced by different rice-growing regions across China. For example, nitrogen-zinc synergistic fertilization technology is being employed in Northeast China to assist crops that struggle with early spring temperatures affecting seedlings. In the mountainous Southwest region, practices such as sparse planting and the deep application of organic matter are utilized to circumvent the constraints imposed by the terrain. Similarly, in the arid Northwest, the strategy of film mulching combined with controlled-release fertilizers aims to maximize water efficiency while ensuring high yields. Early demonstrations of these methods across Jiangsu, Northeast China, and South China indicate yield increases ranging from 6.3% to an impressive 15.7%.</p>
<p>Implementing these innovative agricultural technologies necessitates strong support from policy frameworks and active engagement from farmers. To bridge the gap between complex scientific methodologies and practical application, researchers advocate a “Science and Technology Courtyard” model. This model simplifies intricate technical guidelines into actionable standards, such as the “three-looking fertilization method,” which prompts farmers to evaluate seedling health, soil conditions, and environmental factors. Such efforts are designed to accelerate the widespread adoption of these eco-friendly technologies, moving towards a more sustainable agricultural future.</p>
<p>By fostering these high-yielding and environmentally sustainable practices, it is anticipated that nitrogen use efficiency in rice cultivation will witness remarkable improvements. In turn, this will curtail the environmental footprint of paddy fields, particularly regarding greenhouse gas emissions. The implications of these advancements extend beyond academic realms, promising significant contributions to global food security and the ongoing endeavor for sustainable agricultural development in China.</p>
<p>As the world grapples with the dual challenges of feeding a growing population and preserving ecological integrity, innovations in rice technology, such as those proposed by Meng and his team, may serve as a paradigm for future agricultural practices. The integration of environmental sustainability with efficient production not only aligns with the goals of contemporary agriculture but also sets a precedent for globally addressing similar challenges across various food systems.</p>
<p>The year ahead could see substantial progress as the researchers&#8217; timely interventions take root in farmer communities. This progressive approach aims to transform the agricultural landscape of China and potentially inspire similar initiatives globally, making strides toward a more resilient and ecologically sound future in food production.</p>
<p>Food security and environmental sustainability no longer need to be viewed as opposing forces. The innovative practices developed by Xusheng Meng and his colleagues dismantle this false dichotomy, illustrating that it is indeed possible to nourish the world while preserving the very ecosystems upon which agriculture relies. As we stand at the crossroads of environmental crisis and agricultural productivity, the strategies emerging from China could illuminate a path forward, fostering a renewed commitment to sustainable practices that honor both our planet and its people.</p>
<hr />
<p><strong>Subject of Research</strong>:<br />
<strong>Article Title</strong>: Integrated innovation and application of green high-yield and high-efficiency technologies of rice in China<br />
<strong>News Publication Date</strong>: 16-Jul-2025<br />
<strong>Web References</strong>: https://doi.org/10.15302/J-FASE-2025636<br />
<strong>References</strong>:<br />
<strong>Image Credits</strong>: Jian HUANG, Yixiao CHAI, Shichao YANG, Yiwen CAO, Lei YANG, Min WANG, Xusheng MENG, Shiwei GUO</p>
<h4><strong>Keywords</strong></h4>
<p>Applied sciences and engineering, Agriculture</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">65681</post-id>	</item>
	</channel>
</rss>
